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A phase field model of three-phase composite ceramic tool materials with two kinds of nanoparticles is set up in this research. The three-dimensional simulation algorithm is modified and a new efficient algorithm is established. The microstructure evolution of three-phase nanoceramic tool materials is more efficiently and successfully simulated in 200x200x200 unit size. Microstructure evolution of single-phase and three-phase ceramic tool materials is simulated respectively. It can be found that the peak value of grain size distribution for three-phase nanoceramic tool material is smaller than average diameter. It indicates that the nanoparticles not only restrain grain boundary migration, but also prevent the elimination of small grains and refine matrix grains.

This paper proposes a novel multi-view learning framework which leverages the information contained in pseudo-labeled images to improve the prediction performance of image classification using multiple views of an image. In the training process, labeled images are first adopted to train view-specific classifiers independently using uncorrelated and sufficient views, and each view-specific classifier is then iteratively re-trained using initial labeled samples and additional pseudo-labeled samples based on a measure of confidence. In the classification process, the maximum entropy principle is utilized to assign appropriate category label to each unlabeled image using optimally trained view-specific classifiers. Experimental results on a general-purpose image database demonstrate the effectiveness and efficiency of the proposed multi-view semi-supervised scheme.

This paper proposes a novel multi-view semi-supervised learning scheme to improve the performance of image annotation by using multiple views of an image and leveraging the information contained in pseudo-labeled images. In the training process, labeled images are first adopted to train view-specific classifiers independently using uncorrelated and sufficient views, and each view-specific classifier is then iteratively re-trained using initial labeled samples and additional pseudo-labeled samples based on a measure of confidence. In the annotation process, each unlabeled image is assigned appropriate semantic annotations based on the maximum vote entropy principle and the correlationship between annotations with respect to the results of each optimally trained view-specific classifier. Experimental results on a general-purpose image database demonstrate the effectiveness and efficiency of the proposed multi-view semi-supervised scheme.

The aim of this paper is to present the advantages and the vision of Reverse Design from virtual manufacturing. With the reverse design method, the real geometry after manufacturing process (by simulation) was predicted. In the first part of the study, comparisons were made between difference cases (the injection position and the amount of the pin gates). Based on the results from simulation, it is clear that 4 pin gates are better choice. In the second part, under the 4 pin gates working condition, considering the warp from the injection molding process, the actual minimum gap between the fan and the frame after assembly is smaller than the original designed gap. Therefore, to get the ideal product to keep the designed gap between the fan the frame, the radius of the fan should be reduced or the radius of the frame should be increased. While in other case, which was simulated with 3 pin gates, the real gap is larger than the original gap. Therefore, to get the ideal product, the radius of the fan should be increased or the radius of the frame should be reduced. In conclusion, original designed parameters could be modified, with the help of virtual manufacturing (by simulation) to make the assembly more accurately efficiently.

This paper presents the development of a Multi-Tip Tool Structure for fast turning process, to prolong overall tool life as well as to shorten machining time. Instead of one cutting edge in regular turning process, several cutting tools are used simultaneously in this assembly. With this arrangement, radial cutting forces are balanced with each other and the steady or follower rests in a regular lathe can be eliminated, for long and thin work pieces. Make the tooling structure more compact and more feasible for multi-head CNC turning or combo machining.

A modified three-dimensional Monte Carlo (MC) model in presence of pores and impurities for three-phase nanocomposite ceramic tool materials is successfully established in this paper. Pore migration by surface diffusion is incorporated into the MC model and it is applied to observe and scientific quantitative characterization of three dimensional microstructure evolution and densification process. Some modifications are applied to the simulation algorithm to improve the computing efficiency. The influence of pores on the particle and impurity loaded grain boundaries is simulated and investigated for the study of grain growth kinetics. The relationship between porosity and density is also analyzed. The results indicate that the higher the porosity is, the lower the density will be.

A new three-dimensional Monte Carlo (MC) model in presence of pores of microstructure evolution for three-phase nano-composite ceramic tool materials is successfully established to simulate the grain growth during sintering process in this paper. The defect-free microstructure evolution and microstructure evolution in presence of pore are simulated and investigated. The results show that the new MC model can well simulate the grain growth and pores shrinkage during densification process. Compared with defect-free system, the grain growth velocity can be slow down obviously owning to the existence of pores.

Unprecedented challenges arehas been facinging by the traditional industrial design methods, shortening the product development cycle and improving design efficiency has become an important issue for designers, various kinds of new design methods have thus emerged, among which the Design Professional Knowledgebase is the very effective one. The goal of this research is to collect a large quantity of information about product presentation to establish a professional knowledge base – the Product Presentation Database, through which we explored new thinking about industrial design configuration on the one hand, and on the other, designers can refer to this database for lots of information about product design to improve design efficiency greatly.This document explains and demonstrates how to prepare your camera-ready manuscript for Trans Tech Publications. The best is to read these instructions and follow the outline of this text. The text area for your manuscript must be 17 cm wide and 25 cm high (6.7 and 9.8 inches, resp.). Do not place any text outside this area. Use good quality, white paper of approximately 21 x 29 cm or 8 x 11 inches (please do not change the document setting from A4 to letter). Your manuscript will be reduced by approximately 20% by the publisher. Please keep this in mind when designing your figures and tables etc.

Removed due to plagiarism. Original paper is published at: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5256313&isnumber=5446457

The robot vision system is the critical component of the soccer robot, in football competition, robot perceive the most of the information from the vision system. Because of the variable illumination conditions, the traditional image segmentation method based on color information is not satisfactory. Based on the color information and shape information of the object, this paper proposes a object recognition algorithm that combine color image segmentation with edge detection. This algorithm implement image segmentation use color information in the HSV color space obtain the pixel of the object, then use this pixel implement edge detection to recognize the object. Experiments show that this algorithm can recognize the object exactly in the different illumination conditions, satisfy the requirement of the competition.

This study aims to research and develop Pipe Flow Generators. The focus in this paper is on the rotor design for pipes of different sizes. Modern engineering tools such as Computational Fluid Dynamics (CFD) software and Rapid Prototyping technology are utilized to facilitate the numerical and experimental studies. The CFD numerical simulations consist of two and three-dimensional transient and steady analyses. These simulations were conducted to find the relationship between the flow rate, blade geometry and number of blades. During the experimentation process, Rapid Prototyping Technology (RP) was used to fabricate many different types of turbine geometries to test different impeller parameters. RPM and voltages where measured for each turbine design. The study leads to several important findings for better pipe flow generators design.

A gait control system is designed for walking a slope movement according to the features of biped robot, Two BP networks are introduced into train the walking trajectory of robot and the optimal trajectory is generated by the new evolutionary approach based on particle swarm optimization. Additionally, online environmental information is collected as neural network input, and necessary joint trajectory is output for the movement. Simulations with Matlab and experiments on NAO humanoid robot testify the efficiency of the method.

The development of adding optical functionality to a silicon microelectronic chip is still a great challenge in material research area. Silicon and its oxide are not luminescent for they do not possess direct electronic band transition. Here we demonstrate that room-temperature photoluminescence (PL) has been observed from silicon/silicon dioxide laser sintered body with its strongest PL intensity peak being at 387 nm (3.20 eV) and another peaked near 788 nm (1.60 eV). The effects of silicon/silicon oxide particle diameters and silicon contents on room-temperature PL of their laser co-sintering samples were studied. It was found that the PL peak intensity changes with the increasing silicon content.